Partner Programs And Marketplace in United States

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work. You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time. This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational wor

About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in NYC. We use a hy

About the Team The GPT Infrastructure team builds systems that turn advances in model inference and optimization into reliable production capabilities. We enable OpenAI workloads to be qualified and optimized across new accelerator platforms without requiring a one-off port and tuning effort for every hardware target. Our work spans distributed systems, model execution, compilers and runtimes, performance engineering, secure partner integrations, evaluation systems, and developer tooling. We build the infrastructure that makes optimization workflows automated, reproducible, and trustworthy. About the Role We are seeking a software engineer to help build the platform that qualifies and optimizes inference workloads across heterogeneous compute environments. You will develop both OpenAI-hosted services and secure partner-side software for running long-lived optimization workflows. These workflows generate candidate kernels, runtime configurations, and serving-stack changes; compile and execute them on target hardware; verify their correctness; measure their performance; and use the results to guide further optimization. You will work across model architecture, distributed execution, compilers, runtimes, networking, and accelerator systems. A central part of the role is turning research prototypes and one-off hardware bring-up efforts into reliable, reusable infrastructure with clear contracts, reproducible results, strong observability, and well-defined security boundaries. Key Responsibilities Design, build, and operate APIs and control-plane services for long-running workload qualification and optimization campaigns, including scheduling, retries, checkpointing, resource budgets, and observability. Build secure partner-side execution and evaluation software that can compile, run, verify, profile, and benchmark candidate artifacts on accelerator hardware. Integrate model workloads, hardware profiles, compiler toolchains, runtimes, serving engines, and distributed-exe

About the Team The Artifacts team is building the AI-native creation layer for documents, spreadsheets, slide decks, dashboards, reports, analyses, and new forms of interactive work products. We are rethinking what creation looks like when models can move from an ambiguous user goal to a polished, editable artifact with strong structure, taste, correctness, and speed. This is a high-agency team working across product, infrastructure, and research. We partner closely with model training teams to shape how frontier models create artifacts, and with ChatGPT product teams to turn those capabilities into experiences that millions of people can use. The work spans full-stack product engineering, model integration, rendering and editing systems, collaboration, storage, evaluation loops, and production reliability. Our ambition is to build the premier product experience for AI-generated artifacts: starting with familiar work products like slides, sheets, and docs, then expanding into new artifact types that are only possible in an AI-native world. About the Role As Engineering Manager, Artifacts, you will lead and grow the engineering team responsible for building this product and technical foundation. You will manage a team of full-stack and infrastructure-oriented engineers, set technical direction, and stay hands-on enough to shape architecture and debug hard problems. This role sits at the intersection of product engineering, research, and infrastructure. You will partner with researchers on how models are trained and evaluated for artifact creation, with product and design on the user experience. This is a strong fit for a technical manager who wants to build and ship, not only coordinate. The team has a fast trajectory, so you will help define both the product surface and the team that builds it. In this role, you will: Lead, manage, and grow a team building AI-native artifact creation experiences across documents, spreadsheets, slide decks, and emerging artifact form

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and inform next-generation infrastructure design. About the Role We are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions. In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions. This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Develop and maintain performance modeling tools and frameworks. Build models to evaluate system behavior across: compute, memory, and interconnect subsystems distributed system scaling and bottlenecks. Run simulations and analytical models to support architectural tradeoff analysis. Collaborate with performance modeling lead and system architects to answer forward-looking design questions. Analyze and interpret modeling outputs, translating results into actionable insights. Validate models against real system measurements and workload behavior. Contribute to improving modeling fidelity, usability, and scalability. Qualifications Strong software engineeri

About the Team The Stargate team is responsible for building the physical infrastructure that powers large-scale AI systems. We design and deliver next-generation data centers optimized for dense compute clusters, advanced networking, and rapidly evolving hardware platforms. This work sits at the intersection of hardware engineering, systems architecture, and infrastructure execution—translating cutting-edge compute roadmaps into scalable, production-ready environments. Our teams partner across silicon vendors, server and storage OEMs, networking teams, and data center engineering organizations to bring new capacity online quickly, reliably, and at global scale. About the Role We are seeking a CPU & Storage Technical Lead to define and drive the server compute and storage architecture strategy for Stargate infrastructure. In this role, you will own technical direction across CPU platforms, memory configurations, local and disaggregated storage systems, and their integration into large-scale AI clusters. You will evaluate vendor roadmaps, lead platform tradeoff decisions, and ensure compute and storage systems are optimized for training, inference, and supporting services. You will work cross-functionally with hardware engineering, performance modeling, networking, supply chain, and deployment teams, as well as external partners such as AMD, Intel, OEMs, ODMs, and storage vendors. This is a highly strategic role for someone who can operate deeply at the component level while also driving long-range infrastructure decisions. Key Responsibilities Own CPU and storage technical strategy for Stargate compute infrastructure across current and future generations. Evaluate CPU platforms across performance, efficiency, memory bandwidth, PCIe topology, cost, and roadmap alignment. Define storage architectures for AI environments, including boot media, local NVMe, shared storage, caching tiers, metadata services, and high-performance data pipelines. Drive server platform de

About the team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Sales team partners closely with customers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the role We’re looking for an Account Manager to support advertisers in onboarding, launching, and growing on OpenAI’s advertising platform. You will manage a portfolio of partners and serve as a trusted advisor, helping them achieve their business objectives while ensuring a strong and responsible experience on our platform. This role sits at the intersection of relationship management, strategy, and execution. You’ll work closely with Sales to drive long-term partner growth and with internal teams to continuously improve the advertiser experience. In this role, you will: Own relationships with a portfolio of advertising partners, serving as their primary point of contact. Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI’s ads products. Analyze campaign performance and provide clear, actionable recommendations to improve outcomes. Identify opportunities to expand partnerships through increased product adoption and incremental investment. Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value. Surface advertiser feedback and insights to inform product improvements and long-term strategy. Help build scalable processes and best practices that support the growth of OpenAI’s advertising ecosystem. You might thrive in this role if you: Has 5-10+ years of experience in digital advertising, account management, customer success, consulting or a related client-facing role. Has experience managing advertiser or agency r

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. About the Role The Safety Measurement Product Manager owns OpenAI's approach to measuring harm and safeguard efficacy in production, including driving the strategy for our suite of safety measurement platforms and products used across the company. You will partner closely with our safety research and engineering teams to determine what we measure, where we measure it, and how we measure it, feeding those insights directly into critical leadership decisions and back into our safety work. You will also represent the company's topline safety metric as well as prioritize incoming requests from partner teams to expand our safety measurement platform to more use cases. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Partner closely with data science, research, engineering, policy teams, and other stakeholders to craft a vision for understanding safety outcomes and prevalence on our platforms. Define strategic priorities and product roadmaps focused on improving safety measurement approaches will scaling our measurement platform to more use cases, products, and cross-functional team needs. Establish repeatable processes to integrate cutting-edge AI safety research into OpenAI’s safety m

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake Support is committed to providing world-class solutions that inspire customer confidence and ensure business continuity. The DSE is a trusted technical partner to our Priority Support customers with a strong AI-first mindset, customer management skills & technical acumen. The role will lead the drive to reinvent and transform Priority Support into a deeply engaged, proactive offering that delivers high value throughout the customer’s post-go-live journey. The DSE role blends deep technical expertise with account engagement and service delivery. The DSE provides hands-on engagement to bridge complex business problems with Snowflake’s technology solutions. The DSE partners with the customer and internal Snowflake teams to drive quick resolution of reported issues, with a focus on future case deflection and WAF principles that ultimately strengthen customer trust in Snowflake. AS A DESIGNATED SUPPORT ENGINEER AT SNOWFLAKE, YOU WILL IMPACT AND CONTRIBUTE TO THE SUCCESS OF OUR CUSTOMERS: Provide hands-on support for customer needs following Snowflake deployment - from quick start consultations, to issue resolutions, account health monitoring and critical event support. Deep understanding of the customer's product integration architecture and workloads. Design, revi

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Technical Customer Analyst will work independently as well as partner with technical and customer-facing teams to support complex technical solutions for our customers, specifically responsible for the troubleshooting and resolution of technical issues.

The Senior Planning and Operations Manager leads the end-to-end planning function across demand, supply, and inventory to ensure the right product is in the right place at the right time to maximize sales and profitability. The role manages the demand and supply planning cycle, manages open-to-by budgets, and manages the allocation and inventory strategy across regions and sales channels to ensure accurate, and timely sales order management aligned with GTM launch dates. This position is responsible for managing the demand forecast, supply planning, and open-to-buy process, and setting sales, margin, weeks of supply, and DIO plan by product line. The role is an expert in using data analytics to improve forecast accuracy, align inventory management with revenue forecasts, and utilize sell-through analytics to support inventory strategies. The ideal candidate is a strategic, analytical leader who can partner cross-functionally with Merchandising, Sales, Service, Order Management, Marketing, Supply Chain to ensure brand, product, and go-to-market strategies are supported through the pre-season and in-season processes. Essential Functions and Key Responsibilities: Open to Buy Management Build annual, seasonal, and monthly demand and open to buy plan models in alignment with sales channel revenue plans and DIO strategies. Ensure alignment between merchandise plans, OTB budgets, and supply/demand plans to drive a cohesive end-to-end planning process. Manage the OTB process, ensuring purchasing plans align with financial targets, inventory turn goals, and sales forecasts Partner with Finance, Sales, merchandising to build, monitor performance, and adjust OTB budgets by region, sales channel, and category. Provide regular OTB reporting and recommendation allocation of OTB dollars to s

The Senior Digital Product Manager, Global eCommerce contributes to TaylorMade Golf’s success by owning the strategy, execution, and continuous improvement of TaylorMade’s global eCommerce business. This is both a business and technical leadership role — equally focused on understanding consumer behavior, regional market needs, and business performance as it is on driving the development and evolution of the eCommerce experience. This role leads a team of direct reports and aligned with leadership serves as the senior eCommerce product authority, connecting regional business leaders, cross-functional stakeholders, and technology delivery teams to ensure TaylorMade’s digital storefronts deliver a world-class consumer experience globally. The ideal candidate brings deep eCommerce expertise, strong business acumen, a consumer-first mindset, and proven leadership to drive innovation, elevate the shopping experience, and deliver measurable business outcomes in support of TaylorMade’s global digital commerce growth. Essential Functions and Key Responsibilities: Lead, mentor, and develop a team of direct reports, establishing clear goals, fostering accountability, and building a high-performance eCommerce product team Ensure the eCommerce product roadmap is grounded in and aligned to the strategic vision and priorities set by eCommerce leadership, translating executive direction into a clear, actionable product plan that the broader team can execute against In alignment with leadership and digital strategy, own and drive the global eCommerce product roadmap, serving as a proactive thought partner on investment decisions and initiative prioritization Collaborate regularly with regional business leaders to understand market-specific consumer behavior and expectations, and present the product roadmap to regional stakeholders for input and alignment, building shared buy-in across markets Partner with the

ABOUT TOPGOLF At Topgolf, we believe in the unlimited power of play to drive fun, connection, and innovation. Whether you work behind the scenes or directly engage with Players, your role is key to bringing people together and redefining entertainment. We’re seeking fun-loving playmakers who are serious about delivering excellence and results, but who don’t take themselves too seriously. If you thrive in a fast-paced, collaborative environment focused on creativity and incredible experiences, Topgolf is the place for you. Grow your career, make an impact, and let your individuality fuel your success! ABOUT THE ROLE The Director of Strategic Finance & Treasury is responsible for owning the company’s liquidity, capital structure, and treasury operations for a global, multi-site, capital-intensive business. This role serves as a key control point for enterprise-level capital allocation and investment discipline, ensuring rigorous management of cash, leverage, and capital deployment. You’ll act as a trusted finance partner to the CFO, executive leadership team, and financial sponsors, helping guide major capital, financing, and investment decisions that shape the future of the business. KEY RESPONSIBILITIES Treasury & Liquidity Own management of the company’s revolving credit facility and debt portfolio, including availability, covenant compliance, and lender reporting. Lead cash and liquidity forecasting by integrating operating cash flow, capital expenditures, financing activity, seasonality, and site-level dynamics. Manage relationships with banks, lenders, and capital providers. Establish scalable treasury processes, controls, and governance suitable for a large, distributed operating footprint. Capital Structure & Strategic Finance Partner with the CFO on capital structure and balance sheet s

ABOUT TOPGOLF Topgolf is a sports entertainment company that has changed how millions of people experience golf — and a genuinely energizing place to build a career. Every year, guests pack our venues for something that is hard to find elsewhere: hitting balls at a target-lined outfield, watching their shot traced in real time on multiple screens, with great food and good company alongside. With 100+ venues across the globe and proprietary Toptracer technology embedded in our guest experience and licensed to broadcasters and courses worldwide, Topgolf sits at a distinctive intersection of entertainment, hospitality and technology—with meaningful opportunities to improve performance and grow. THE ROLE The VP, Corporate Finance & Strategy will lead Corporate FP&A, Treasury and Strategic Planning. Reporting to the CFO, this leader will own enterprise planning, the consolidated financial outlook, liquidity, capital structure, capital allocation and the narrative presented to the Board and investors. This leader will partner closely with the VP of Commercial Finance, whose team oversees Venues FP&A, Toptracer FP&A, Business Intelligence and Financial Systems, to consolidate the commercial outlook into a complete enterprise view of the P&L, balance sheet, cash flow and long-range plan. The mandate is to simplify how Topgolf plans, build a scalable Treasury function, identify opportunities and risks early, and help leadership balance current business needs with investments required for long-term growth. WHAT YOU’LL OWN Corporate FP&A and Enterprise Planning Own the three-statement financial model, annual operating plan, forecasts and long-range plan. Lead an efficient, driver-based budget and forecast process with clear assumptions, inputs, owners and deadlines. Integrate commercial perfo

WHAT WE'RE SEEKING The Lead Accountant owns a meaningful piece of that growth story from the accounting side: producing accurate, timely financial statements, including point-of-sale reconciliations, insurance accounting, and the accruals and journal entries that keep our books clean across a fast-moving, multi-unit business. This role reports to the Manager, General Accounting and works closely with the broader Accounting team, Systems, Risk, Technology, and the site and corporate leaders across the venues they support. This is a strong fit for someone who wants real ownership early in their career — someone who can run a close process independently, build relationships with the teams and venues they support, and look for smarter ways to do the work, including using AI to create efficiencies. WHAT YOU WILL DO Key Responsibilities Financial Reporting & Close Produce accurate, timely financial statements as part of the Accounting team's monthly and annual close process. Post, balance, and reconcile the general ledger for each entity in accordance with GAAP. Research and analyze fluctuations versus prior year, prior month, and budget, and prepare journal entries to record transactions in the correct period. POS & Revenue Accounting Review and resolve point-of-sale variances across multiple POS systems. Partner with the Systems team on POS issues and mapping changes and Treasury for reconciling cash issues. Record non-POS revenue accurately and on time. Insurance, Utilities & Other Misc. Accruals Prepare monthly journal entries and reconciliations for the company's insurance policies; partner with the Risk team on claim trends and compare reserves to semi-annual actuary reports. Own highly visible, material accruals such as utilities that requ